Topic
Base load power plant
About: Base load power plant is a research topic. Over the lifetime, 6121 publications have been published within this topic receiving 96788 citations.
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26 Jun 2009TL;DR: In this article, a power request signal is applied to an average power calculation processor that calculates the average power requested over a predetermined previous period of time, and the output value is added to a filtered value to generate a signal for the change in the output power of the fuel cell stack based on the power request.
Abstract: A fuel cell system employing a floating base load hybrid strategy for reducing fast voltage transients of a FCPM. A power request signal is applied to an average power calculation processor that calculates the average power requested over a predetermined previous period of time. A weighting function processor provides a weighting function based on the state of charge of an EESS. The power available from the FCPM and the EESS is applied to a power comparison processor. The available power is compared to the power request to provide a difference value between what is currently being provided and what is desired. The difference value is compared to power limit values of the EESS. The output value of this comparison is added to a filtered value to generate a signal for the change in the output power of the fuel cell stack based on the power request.
73 citations
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TL;DR: The proposed mixed-integer linear programming (MILP) model is to minimize the total operation cost while incorporating explicit LMP formulations and non-negative LMP requirements into the network-constrained unit commitment (NCUC) problem, which are derived from the Karush-Kuhn-Tucker optimality conditions of the economic dispatch (ED) problem.
Abstract: Environmental issues in power systems operation lead to a rapid deployment of renewable wind generations. Wind generation is usually given the highest priority by assigning zero or negative energy bidding prices in the day-ahead power market, in order to effectively utilize available wind energy. However, when congestions occur, negative wind bidding prices would aggravate negative locational marginal prices (LMPs) in certain locations. The paper determines the proper amount of demand response (DR) load to be shifted from peak hours to off peaks under the Independent System Operator's (ISO) direct load control, for alleviating transmission congestions and enhancing the utilization of wind generation. The proposed mixed-integer linear programming (MILP) model is to minimize the total operation cost while incorporating explicit LMP formulations and non-negative LMP requirements into the network-constrained unit commitment (NCUC) problem, which are derived from the Karush-Kuhn-Tucker (KKT) optimality conditions of the economic dispatch (ED) problem. Numerical case studies illustrate the effectiveness of the proposed model.
73 citations
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26 Jul 2015TL;DR: Numerical tests corroborate the reactive power management efficiency of the novel stochastic scheme over its deterministic alternative, as well as its capability to track variations in solar generation and household demand.
Abstract: Distribution microgrids are being challenged by reverse power flows and voltage fluctuations due to renewable generation, demand response, and electric vehicles Advances in photovoltaic (PV) inverters offer new opportunities for reactive power management provided PV owners have the right investment incentives In this context, reactive power compensation is considered here as an ancillary service Accounting for the increasing time-variability of distributed generation and demand, a stochastic reactive power compensation scheme is developed Given uncertain active power injections, an online reactive control scheme is devised This scheme is distribution-free and relies solely on power injection data Reactive injections are updated using the Lagrange multipliers of a second-order cone program Numerical tests on an industrial 47-bus microgrid and the residential IEEE 123-bus feeder corroborate the reactive power management efficiency of the novel stochastic scheme over its deterministic alternative, as well as its capability to track variations in solar generation and household demand
73 citations
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01 Jan 2011TL;DR: A scenario-based stochastic model predictive control algorithm is proposed to solve the real-time market-based optimal power dispatch problem.
Abstract: We formulate the problem of dynamic, real-time optimal power dispatch for electric power systems consisting of conventional power generators, intermittent generators from renewable sources, energy storage systems and price-inelastic loads. The generation company managing the power system can place bids on the real-time energy market (the so-called regulating market) in order to balance its loads and/or to make profit. Prices, demands and intermittent power injections are considered to be stochastic processes and the goal is to compute power injections for the conventional power generators, charge and discharge levels for the storage units and exchanged power with the rest of the grid that minimize operating and trading costs. We propose a scenario-based stochastic model predictive control algorithm to solve the real-time market-based optimal power dispatch problem.
73 citations
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TL;DR: In this paper, the authors compared the life cycle greenhouse gas (GHG) emissions, water consumption, and direct, onsite land use associated with one MWh of electricity production from CSP plants with wet and dry cooling and with three energy backup systems: (1) minimal backup (MB), (2) molten salt thermal energy storage (TES), and (3) a natural gas-fired heat transfer fluid heater (NG).
72 citations