Sh. Gorgizadeh, A. Akbari Foroud, M. Amirahmadi,
Volume 8, Issue 2 (June 2012)
Abstract
This paper proposes a method for determining the price bidding strategies of
market participants consisting of Generation Companies (GENCOs) and Distribution
Companies (DISCOs) in a day-ahead electricity market, while taking into consideration the
load forecast uncertainty and demand response programs. The proposed algorithm tries to
find a Pareto optimal point for a risk neutral participant in the market. Because of the
complexity of the problem a stochastic method is used. In the proposed method, two
approaches are used simultaneously. First approach is Fuzzy Genetic Algorithm for finding
the best bidding strategies of market players, and another one is Mont-Carlo Method that
models the uncertainty of load in price determining algorithm. It is demonstrated that with
considering transmission flow constraints in the problem, load uncertainty can considerably
influences the profits of companies and so using the second part of the proposed algorithm
will be useful in such situation. It is also illustrated when there are no transmission flow
constraints, the effect of load uncertainty can be modeled without using a stochastic model.
The algorithm is finally tested on an 8 bus system.
S. A. Mozdawar, A. Akbari Foroud, M. Amirahmadi,
Volume 18, Issue 1 (March 2022)
Abstract
This paper scrutinizes the impact of different renewable energy sources (RES) development policies on competitiveness within multiple electricity markets (MEMs). Also, the variation in market power indices by increasing the integration of the markets undergoing symmetric and asymmetric RES development policies is investigated. To do so, several stochastic mixed-integer non-linear programming objective functions are used in the agent-based simulation framework to model the power plants’ behavior and markets. The case study shows in the low RES penetrated markets, one can say the more integration level of the markets, the lower potential of exercising market power. The reciprocal judgment is true for a high RES penetrated market. Also, large asymmetry in RES development between markets within MEMs may bring about market power problem for a high RES penetrated market. Unlike the asymmetric RES development policies, adopting homogeneous policies in RES development within MEMs reduces the market power potential in all markets and this potential decreases with the increase in the integration of the markets.
