M. Mashhour

Bio: M. Mashhour is an academic researcher from K.N.Toosi University of Technology. The author has contributed to research in topics: Profit model & Economic dispatch. The author has an hindex of 3, co-authored 5 publications receiving 47 citations.

Optimal sizing and siting of distributed generation in radial distribution network: Comparison of unidirectional and bidirectional power flow scenario

Abstract: The introduction of Distributed Generation (DG) into distribution networks has a significant effect on losses. This effect can be detrimental or beneficial depending on where DG units are allocated and which sizes they have. This paper deals with optimal siting and sizing of DG units for minimizing the total power losses in a radial distribution network under bidirectional and unidirectional power flow scenario. An Enhanced Genetic Algorithm (EGA) is used for effectively explore the problem search space. Moreover, a simple and straightforward penalty function is presented in which the normalization of the violations is not needed. The method is implemented and tested on a typical 16-bus distribution network. Simulation results indicate that unidirectional flow constraint may restricts the ability of DG units to minimizing the network losses.

Efficient aggregation of distributed generations and Interruptible loads: A new tool for market integration of distributed recourses

Abstract: Because Distributed Generations (DGs) grow under non-market mechanisms (i.e. supporting mechanism and economic incentives), they will lead to market distortions as their capacity level in electric power system increases. Therefore it is necessary to integrate DGs in market mechanism. Some difficulties emerge so as to complicate direct integration of DGs into the market competitions. Such intricacies can be accounted for by intrinsic and technical aspects. From an intrinsic point of view, DGs that have grown under supporting mechanisms cannot be self-supporting units in a competitive market environment, owing to their small size to be neglected in the market operator's eye. From technical-wise, DGs dispersed in distribution level have no direct access to the markets usually existing in the transmission level. To solve these difficulties, this paper proposes a new method for aggregating DGs and Interruptible loads (ILs), thus forming an equivalent unit at the junction point of distribution and transmission systems. The proposed method uses the security-constrained economic dispatch (SCED) technique to take the characteristics of distribution network (constraints, impedances and losses) into account. The method is applied to a primary distribution system and the results are discussed.

Aggregated Distribution Company's Profit Model in Hourly Ahead Energy and Reserve Markets

Abstract: This work presents a novel hourly ahead profit model for an active distribution company in a pool-based system. The presented model engages the distribution company in both energy-producing and reserve-providing activities. The distribution company's earnings from the reserve market include the remuneration for real-time generation and ready-for-service capacity. To achieve the optimal decisions for an active distribution company in the energy and reserve markets, a two-stage optimization model and associated mathematical formulations have been developed. The first sub-problem extracts a single operating profile (a lumped financial model) of the whole distribution system, including distributed generations and interruptible loads, at the connecting point to the upstream network. The second sub-problem determines the optimal values of decision variables (power and reserve commodities) to maximize the distribution company's profit, if such variables are accepted in the markets. In other words, it ai...

Optimal sizing and siting techniques for distributed generation in distribution systems: A review

Abstract: To extract the maximum potential advantages in light of environmental, economical and technical aspects, the optimum installation and sizing of Distributed Generation (DG) in distribution network has always been challenging for utilities as well as customers. The installation of DG would be of maximum benefit where setting up of central power generating units are not practical, or in remote and small areas where the installation of transmission lines or availability of unused land is out of question. The objective of optimal installation of DG in distribution system is to achieve proper operation of distribution networks with minimization of the system losses, improvement of the voltage profile, enhanced system reliability, stability and loadability etc. In this respect analytical (classical) methods, although well-matched for small systems, perform adversely for large and complex objective functions. Unlike the analytical (classical) methods, the intelligent techniques for optimal sizing and siting of DGs are speedy, possess good convergence characteristics, and are well suited for large and complex systems. However, to find a global optimal solution of complex multi-objective problems, a hybrid of two or more meta-heuristic optimization techniques give more effective and reliable solution. This paper presents the fundamentals of DG and DG technologies review the classical and heuristic approaches for optimal sizing and placement of DG units in distribution networks and study their impacts on utilities and customers. An attempt has also been made to compare the analytical (classical) and meta-heuristic techniques for optimal sizing and siting of DG in distribution networks. The present study can contribute meaningful knowledge and assist as a reference for investigators and utility engineers on issues to be considered for optimal sizing and siting of DG units in distribution systems.